IT Systems Engineer
Baseten · Full-time · Posted 1w ago
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re looking for an IT Engineer to design the systems behind how people at Baseten get access, stay secure, and move through their time here. This role builds the controls and automation that our IT Operations team runs every day across identity, client platforms, SaaS, and cloud access.
The goal is a corporate environment that’s secure by default and easy to use: access that’s right from day one, removed when it should be, and provable at any time.
RESPONSIBILITIES
Strengthen our identity platform with strong authentication, clean access models, and least privilege as the default.
Automate the workforce lifecycle so that joining, changing roles, and leaving Baseten are fast, consistent, and need little manual work.
Build reliable pipelines for OS updates, patching, and software deployment that keep the fleet current without disrupting people’s work.
Connect device health to access decisions, so a compliant device is what earns access to sensitive systems.
Recommend identity and security standards for our SaaS and AI tools, and make the secure configuration the easy path for teams adopting new ones.
Bring governance to non-human identities (service accounts, API keys, AI agents) and replace long-lived credentials with better options wherever possible.
Manage configuration as code across identity and endpoints to reduce drift, so audit readiness comes from the systems themselves instead of a separate workstream.
Give IT Operations well-designed tools and guardrails, so they can handle more requests on their own, safely.
REQUIREMENTS
5+ years in IT engineering or corporate security engineering, ideally at a cloud-native company.
Strong grounding in identity: SSO, MFA, provisioning, and the protocols behind them.
Hands-on experience engineering macOS fleets at scale: MDM, configuration profiles, app packaging and deployment, and endpoint visibility and EDR tooling.
Experience automating real workflows in code (Python, Bash, or similar), and comfort with infrastructure-as-code.
A working understanding of SaaS and cloud access risks, and how to reduce them without blocking the business.
Good judgment about when to build, when to buy, and when to leave something alone.
Clear writing, and a track record of working across IT, People, Engineering, Legal, GRC and Security.
BENEFITS
Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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